How modern ECM works
Find information instantly across formats
- Unified data repository: Centralizes fragmented digital, physical and media content into a single platform to help eliminate information silos
- Physical-to-digital retrieval: Bridges the gap to your physical archives by letting you easily order digital copies of paper records stored with Iron Mountain
- Automated AI tagging: Reads, classifies, and tags your documents automatically using advanced AI, making it easy to locate
- Conversational AI chat: Use simple, natural language chat to ask questions and get immediate, context-driven answers directly from your datasets
Reclaim productive hours by automating daily workflows
- Automated routing: Helps remove administrative headaches—like messy email chains—by automatically sending files exactly where they need to go
- AI digital workforce: Handles routine document reviews and approval cycles automatically, leaving your human experts to step in for complex escalations
- Verifiable accuracy: Validates AI-generated answers with direct source citations and confidence scores
- Seamless e-signatures: Finalize contracts, approvals, and agreements faster with integrated electronic signatures
Maximize efficiency by connecting your tech stack
- System integration: Connects seamlessly with your existing business systems so your team doesn’t need to switch between disconnected software/li>
- Context-driven views: Gives employees access to their data inside their primary applications, improving real-time tracking and visibility/li>
Automate compliance to protect your business and minimize risk
- Secure global access: Provide role-based access to distributed global teams so employees see what they are authorized to see/li>
- Complete audit trails: Automatically track both user and system actions so you are prepared for compliance audits/li>
- Automated lifecycle management: Apply and enforce records retention schedules, rules, and legal holds/li>
- Intelligent data privacy: Automatically finds and redacts sensitive data before it poses risk /li>








